Top 43 Algorithm quantum algorithm quantum algorithm quantum ai hybrid Jobs

Agentic AI Researcher
Raytheon Technologies Corporate Headquarters —East Hartford, CT
- $86,800 - $165,200 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Disability insurance
Director, Ohio Quantum Computing Institute
Miami University —Oxford, OH
- $150,000 - $200,000 a year
- Email
- Criminal background check
- Military encouraged
- Senior level
Senior Software Engineer - Openstack
Red Hat, Inc. —Raleigh, NC
- $118,600 - $195,680 a year
- Full-time
- 5 years
- Machine learning
- Linux
- Paid parental leave
- Health savings account
Cryptography Project Manager
BNY Mellon —Lake Mary, FL
- $88 - $110 an hour
- Contract
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
10d
Solution Developer II - Automation & Innovation Management
Inland Empire Health Plan —Rancho Cucamonga, CA
- $104,041.60 - $137,841.60 a year
- Full-time
- Hybrid work
- Computer Science
- HIPAA
- Research
- Disability insurance
- Health insurance
Assistant/Associate Professor, Quantum Materials and Quantum Information Science and Engineering
Northeastern University —Boston, MA
- $104,000 - $138,000 a year
- Full-time
- Classroom
- 5 years
- No experience needed
- Health insurance
- Dental insurance
Computational Scientist in the Artificial Intelligence for Science (AIScience)
Princeton Plasma Physics Laboratory —Princeton, NJ
- $163,600 - $261,400 a year
- Full-time
- Management
- Computer Science
- 11+ years
Faculty, Technology, Engineering, Construction
Prince George's Community College —Largo, MD
- $58,041 - $75,850 a year
- Weekends as needed
- Hybrid work
- Background check
- Classroom
- Doctoral degree
Director, Post-Quantum Cryptography
Tyto Athene, LLC —Reston, VA
- Full-time
- Doctor of Philosophy
- Senior level
- 2 years
Senior Architect – Agentic Orchestration Frameworks
Keysight Technologies, Inc. —Calabasas, CA
- $156,740 - $261,230 a year
- Full-time
- Computer Science
- 5 years
- System design
- Health savings account
- Employee stock purchase plan
Repository/DevOps Engineer
PsiQuantum —Palo Alto, CA
- $140,000 - $165,000 a year
- Email
- Computer science
- Azure
- Computer Science
Senior Machine Learning Engineer – Engineering Intelligence Systems
Keysight Technologies, Inc. —Calabasas, CA
- $156,740 - $261,230 a year
- Full-time
- Computer Science
- 5 years
- System design
- Health savings account
- Employee stock purchase plan
HPE Labs - Senior QEC Researcher – Integrated HPC & Quantum Solutions
Hewlett Packard Enterprise —Milpitas, CA
- $135,500 - $275,000 a year
- Full-time
- Computer Science
- Office
- Math
NSF/DOE - STTR Principal Investigator for Chemistry and Material Science
Info Park Systems Inc —Allen, TX
- $76,000 - $100,000 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Java
- Flexible schedule
Quick Apply
5d
Commercial Post Quantum Cryptography Director
Booz Allen —Washington, DC
- $162,800 - $303,000 a year
- Full-time
- Up to 50% travel
- Office
- 8 years
- Health insurance
- Flexible spending account
Product Manager (Quantum-safe Cryptographic Inventory)
Palo Alto Networks —Santa Clara, CA
- $148,700 - $240,525 a year
- Full-time
- Computer Science
- Product management
- In-person
Senior Software Engineer
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
5d
Quantum Applications Architect
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Computer Science
- Master's degree
5d
Quantum Software Engineer II
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Computer Science
- Mid-level
5d
Principal Quantum Applications Architect - Cryptography
Microsoft —Redmond, WA
- $142,800 - $304,200 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
3d

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Agentic AI Researcher

Raytheon Technologies Corporate Headquarters -
East Hartford, CT

Apply Now

Job Details

Full-time
$86,800 - $165,200 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
Flexible spending account
Tuition reimbursement
Paid time off
Parental leave
Employee assistance program
Vision insurance
401(k) matching
Flexible schedule
Life insurance

Qualifications

AI models
AI platforms (beyond public GPTs)
Computational framework
Development environments
Machine intelligence
Engineering research
Machine learning (ML) fundamentals
Machine learning frameworks

Full Job Description

Date Posted:

2026-02-19

Country:

United States of America

Location:

US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

The following position is to join our RTX Research Center team:

Role Overview:

Seeking a motivated and curious candidate for an Agentic AI Researcher position in the Advanced Learning and Analytics team, part of the AI Discipline.

The Advanced Learning and Analytics team researches and develops machine learning, computer vision, reinforcement learning, LLM applications and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries. Examples include autonomous flight, material discovery and design, automated visual inspection of parts, robotic perception and prognostics and health management. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners and subject matter experts collaborate and exchange experience.

This role focuses on creating grounded, explainable and verifiable AI systems capable of operating in complex high-stakes environments such as autonomous systems, command and control, decision support and safety critical domains.

What You Will Do:

Design and build the next-generation agentic AI systems that combine the strengths of machine learning (LLMs, RL, deep learning) with symbolic reasoning, knowledge graphs and formal methods.
Research, design and implement novel ML approaches for multi-modal data.
Develop algorithms, publish and present your findings to both internal and external stakeholders
Initiate, lead, and develop capabilities by seeking funding opportunities through internal and external R&D.

What You Will Learn:

You will learn to collaborate and participate in a world class multi-disciplinary research environment working. Learn about challenges and help develop AI solutions in critical domains of aerospace and defense.

Qualifications You Must Have:

B.S, M.S in Computer Science or a related field
3+ years of hands-on experience in various ML techniques, off-the-shelf packages and development environments.
Experience with building ML, LLMs and agentic systems and has a deep understanding of various ML and agentic frameworks like Pytorch, LangGraph, AutoGen
Ability to understand and use details of an engineering problem statement, formulate it as an ML problem and identify candidate ML approaches.
Research experience in synthesizing and combining multiple ML approaches to address novel engineering problems.
Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position.

Qualifications We Prefer:

Ph.D. in Computer Science or a related field
5+ years of professional ML experience with 2+ developing agentic solutions
5+ years of experience applying and adapting ML approaches from academic literature to real world problems.
Experience with finetuning LLMs for pushing the reasoning capabilities
Prior experience in Aerospace and Defense applications
Published work in flagship conferences– NeurIPS, ICML, ICLR

What We Offer: Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

Learn More & Apply Now!
Work Location: Hybrid - East Hartford, CT
Please consider the following role type definition as you apply for this role:

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Apply Now

Refine Your Search

algorithm quantum algorithm quantum algorithm quantum ai hybrid jobs

Agentic AI Researcher

Director, Ohio Quantum Computing Institute

Senior Software Engineer - Openstack

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Solution Developer II - Automation & Innovation Management

Assistant/Associate Professor, Quantum Materials and Quantum Information Science and Engineering

Computational Scientist in the Artificial Intelligence for Science (AIScience)

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Senior Architect – Agentic Orchestration Frameworks

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NSF/DOE - STTR Principal Investigator for Chemistry and Material Science

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Product Manager (Quantum-safe Cryptographic Inventory)

Senior Software Engineer

Quantum Applications Architect

Quantum Software Engineer II

Principal Quantum Applications Architect - Cryptography

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